Case study AMIRA
R / Shiny / LLMEnterprise analytics platform for plasma fractionation — 59% deviation reduction and 70% token optimization via hybrid RAG.
R ShinyDatabricks (Claude Sonnet 4)OSI PIHybrid RAGAWS S3
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Alexis Roldan · Lancaster, CA
20 Years Building Production
AI/ML for Biopharma
Full-Stack Data Scientist & Sr. Data Engineer
I build manufacturing analytics and GenAI systems end to end for Takeda's Los Angeles plasma fractionation plant — owning the ETL, the modeling, the app, the RAG layer, and the deployment. Currently at Takeda Pharmaceutical.
Lancaster, CA
01who I am
About
I turn biopharma manufacturing data into production systems.
I'm a seasoned Full-Stack Data Scientist and Software Developer with a passion for advanced analytics and statistical modeling that drives real decisions on the plant floor. My biggest deliverables are full-stack: I own the ETL, the modeling, the app, the LLM/RAG layer, the deployment, and the executive comms.
- End-to-end Data Science & ML
- Data Engineering & Pipelines
- Business Intelligence & Visualization
- Process Optimization & Digital Twins
- Generative AI & LLM Applications
Lean Six Sigma Green BeltAGILE ChampionDatabricks ChampionMulesoft Champion
English & Spanish (Native) · Japanese (Conversational)
- 20
- Years in biopharma
- 30+
- Solutions in production
- ~150
- Users per flagship app
- 93%
- Faster deviation search
Recognition
Race4Value — FTE Optimization Winner
2023
Star of the Quarter, Q3 FY22
2022
Employee of the Quarter
2017
02what I've built
Selected Work
0Databases
PennyTrail
Next.js / TypeScriptMobile-first PWA for married-filing-jointly tax tracking — GPT-4o spending chat, receipt capture, no database (all state in S3 JSON).
Next.js 16TypeScriptTailwind v4shadcn/ui
3-phaseSLA logic
LabCast
R / ShinyQC lab sample tracking with TV/kiosk mode and a forecast model — 3-phase SLA logic across 25 sample types, live state in S3.
R Shinybs4DashForecast modelEDB / LIMS
Internal enterprise app
GPT-4oVision tagging
Aether Wardrobe
Next.js / GenAIPhotograph your wardrobe once; GPT-4o vision catalogs each piece and a deterministic combination engine pairs outfits — the AI only ranks and explains, never invents.
Next.js 16TypeScriptTailwind v4Supabase
Private project — walkthrough on request
StreamingLive AI output
Musical Reel Studio
Next.js / GenAIGenerates short-form reel concepts — hook → scene-by-scene → caption → CTA — streamed live, field-by-field from a song, vibe or lyric.
Next.js 15TypeScriptPrismaClerk
Private project — walkthrough on request
20+LLM providers
ReflectAI
React / Express / GenAIDrafts yearly goals and self-assessments through conversation — provider-agnostic across 20+ LLMs with a mock fallback, exporting polished DOCX/PDF.
React + ViteExpressPluggable LLMsOpenAI / Anthropic / Ollama
Private project — walkthrough on request
Shiny App Valuation Toolkit
R / ShinyModified COCOMO II model for Shiny/data-science repos — 3 analysis modes, scenario comparison, AI-assisted planning.
RShinyCOCOMO IIPlotly
RIOT — Image OCR App
R / Shiny / AWSInteractive R/Shiny app extracting text from images via AWS Textract OCR for downstream analytics.
RShinyAWS TextractOCR
TubeScout
PythonFinds high-signal YouTube videos using view-to-subscriber ratio analysis — discovery without the algorithm.
PythonStreamlitYouTube API
YouTube Feed Dashboard
R / Shiny / AWSPersonal dashboard surfacing latest videos from favorite channels — AWS-hosted data pipeline, deployed on Posit Connect.
RShinyAWSYouTube API
Voice Assistant AI
PythonPython voice assistant with speech recognition, real-time financial data and weather integration.
PythonStreamlitSpeech Recognition
roldanpack
RReusable analytics functions and custom visualization themes, installable via GitHub.
RPackage
0320 years in biopharma
Experience
Baxter 2005–2015Baxalta 2015–2016Shire 2016–2019Takeda 2019–Present
Sr. Data Engineer & Data Scientist (Sr. Manager)
Apr 2025 – PresentTakeda Pharmaceutical
Support the Los Angeles Digital Roadmap, AI/ML development and advanced analytics to drive data-driven decisions.
- Leading the LA Digital Roadmap and AI/ML development
- 30+ solutions deployed to production
- Designing, building and maintaining local data pipelines for critical business data
- Architected hybrid-RAG systems achieving 70% token reduction and 59% deviation reduction
- Built agentic BI dashboards and AI-powered text-to-SQL apps for quality management
Data Scientist III (Sr. Manager)
Nov 2022 – Mar 2024Takeda Pharmaceutical
Drove the AGILE 4.0 Digital Workstream and cutting-edge analytics to accelerate Takeda's digital capabilities across GMS sites.
- Drove the AGILE 4.0 Digital Workstream across all GMS sites
- Executed local and global GMS/GQ big-data and analytics strategy
- Built and maintained data pipelines and BI applications across all GMS plasma sites
Data Scientist II (Manager)
Apr 2021 – Nov 2022Takeda Pharmaceutical
Built AI/ML and advanced analytics programs to gain process insight and accelerate digital capabilities.
- Achieved ~50% reduction in process variation via digital-twin models (PIMS project)
- Designed A/B tests and developed end-to-end ML applications
- Los Angeles lead data scientist for global analytics initiatives
04the toolkit
Skills & Education
Languages
RPythonSQL.NETHTML / CSSJava
Data & ML
ShinyDashMinitabJMPSIMCA / OPLSApache Spark
Databases
SQL ServerPostgreSQLOracle
Cloud & DevOps
AWSDatabricksDockerGitPosit Connect
BI Tools
Qlik SensePower BITableau
AI & GenAI
LLM IntegrationRAG ArchitecturePrompt EngineeringText-to-SQLAgentic AIClaude / GPT APIsVoice AI (TTS/STT)
Methodologies
Six SigmaSCRUM / AgileDMAICMLOpsProject Management
Education & Certifications
- 2023
Oxford Machine Learning Summer School — AI for Global Goals
- 2023
ODSC AI Bootcamp — Open Data Science Conference
- 2020
Data Science Professional — HarvardX
- 2020
Statistical Learning, Inference & Modeling — HarvardX / Stanford Online
- 2012
Computer Science — Cal State Northridge
05let's talk
Get in touch
Have a project or role in mind?
I'm always open to conversations about data engineering, applied ML, and GenAI in regulated/manufacturing environments. Drop a note and I'll get back to you.
Location
Lancaster, CA